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With the explosive growth of AI technologies and the Internet industry, data centers have become digital hubs and infrastructures of the Internet industry in the digital economy era. Computing networks, as core components of data centers, have features such as topology, scalability, throughput, reliability, and latency that directly affect data center functionality and performance. The computing cluster networking lab explores architecture and technological innovation for meeting the challenges of future large-scale AI & HPC data centers. .. The labs mission is to lead our company to achieve differentiated competitiveness in high-performance computing cluster network infrastructure, and to support Huawei's industry-leading computing cluster.
Position Overview
In this role, you will be responsible for several teams of architects, engineers and software developers, all working together to conduct state-of-the-art R&D in system and network architecture. As the group lead, you will guide and mentor the individual team leads, and also conduct hands-on work leading architecture, technology innovation and technical planning and of high-performance computing cluster network, which oriented at AI, HPC, and big data.
Responsibilities
You will perform a wide range of duties including:
Architecture Innovation:
Deeply analyzing the advantages and disadvantages of mainstream network systems, to find opportunities for network architecture innovation;
Insight into the technology developing trend of the high-performance computing network field, and leading the corresponding technology planning.
Exploring new architectures of high-performance computing network systems and efficiently integrating communication library, topology, and network protocol to solve performance bottlenecks.
Technical breakthroughs in networking and cluster routing algorithm：
Analyzes computing cluster network performance and leads the development of computing cluster network technologies
Research and optimize the heterogeneous interconnection topology of key computing chips to continuously improve the key competitiveness of Huawei computing heterogeneous chipsets
Responsible for the research of data center network technologies, and guide network topology design and routing algorithm development
Group leadership:
Lead the development of a comprehensive system architecture for AI Fabric and HPC Fabric solutions
Manage and mentor highly skilled team leaders, to ensure that the group operates together in pursuit of common goal
Foster a collaborative and innovative work environment
Provide technical guidance and support to team members
Collaborate closely with cross-functional teams internationally, including hardware,
software, and ucode design teams, to ensure alignment of architectural decisions with
product and platform common objectives
Initiate and supervise collaborations with top academic researchers in Israel and abroad
Stay up to date with emerging technologies and industry trends in AI, HPC and big data industries
Evaluate and recommend technologies and next generation projects
Occasional travel related to ongoing projects, seminars, conferences etc.

The Mission: Build the Future of Cyber Protection.
Lead Innovation. Shape the Next Generation of Cyber Defense.
We are looking for an experienced technical leader to guide our high-impact XDR (Extended Detection and Response) team.
This is not a typical management position - its a rare opportunity to lead core innovation at the intersection of AI, advanced security research, and large-scale product development.
You will drive next-generation, AI-powered detection and response capabilities to stop sophisticated attacks such as APTs, ransomware, and emerging threat vectors across OS, browser, and network layers.
Your teams work will operate deep inside operating systems and network stacks, where performance, reliability, and security meet, protecting millions of users globally.
As a player-coach, you will combine leadership with strong technical direction.
You will serve as the front-facing innovation leader, collaborating with other teams, steering joint research initiatives, and influencing the future of Huaweis cybersecurity strategy.
You will:
Lead & Mentor a High-Impact Team
Empower engineers, data scientists, and security researchers. Foster a modern culture of innovation, experimentation, and technical excellence.
Drive AI-Enabled Security Innovation
Shape the architecture and roadmap for advanced detection engines, behavioral analytics, and ML-driven prevention technologies.
Be a Hands-On Technical Leader
Demonstrate real technical credibility through contributions to architecture, design, and complex kernel/user-level components on Linux and/or Windows.
Own the team's Full R&D Lifecycle from initial research and PoCs to productization, optimization, and global-scale deployment.
Collaborate with external partners, and academic collaborators. Lead cross-border innovation and ensure technology alignment.

What will you be doing?
Envision, design and develop new features in all layers of the HPC / AI stack, from the application level, through the programming model (e.g. OpenMP, MPI) and down to the supporting libraries/middleware
Research, design and implement features for HPC / AI applications using parallel programming models (e.g. OpenMP, MPI), accelerators offloading and memory tiers.
Contribute to open-source scientific computing, networking and I/O libraries
Research, design and assist in developing hardware offloads for features relevant for scientific, deep learning, and data-intensive workloads.

What will you be doing?
Envision, design and develop new features in all layers of the HPC / AI stack, from the application level, through the programming model (e.g. OpenMP, MPI) and down to the supporting libraries/middleware
Research, design and implement features for HPC / AI applications using parallel programming models (e.g. OpenMP, MPI), accelerators offloading and memory tiers.
Contribute to open-source scientific computing, networking and I/O libraries
Research, design and assist in developing hardware offloads for features relevant for scientific, deep learning, and data-intensive workloads.

We are looking for a talented AI Researcher to join our Wi-Fi MAC team and help shape the next generation of intelligent wireless systems. This role sits at the intersection of AI/ML and advanced Wi-Fi technologies, focusing on applying machine learning to complex Wi-Fi scenarios and, conversely, adapting Wi-Fi systems to better support AI workloads - AI for Wi-Fi and Wi-Fi for AI.
You will work closely with Wi-Fi protocol experts to explore, design, and prototype AI-driven solutions for MAC-layer optimization, performance enhancement, and intelligent decision-making in real-world wireless environments.
Key Responsibilities
Research and develop AI/ML techniques for Wi-Fi MAC-layer challenges (e.g., scheduling, rate control, congestion management, fairness, latency, and reliability).
Embed AI models into complex Wi-Fi system setups and scenarios, including dense networks and multi-user environments.
Analyze large-scale Wi-Fi datasets, simulations, and traces to train and evaluate ML models.
Collaborate with Wi-Fi experts to translate protocol behavior into ML-friendly features and learning objectives.
Explore how Wi-Fi systems can be optimized to support AI workloads, including data collection, inference efficiency, and real-time constraints.
Prototype, test, and validate ideas using simulation tools, testbeds, or experimental platforms.
Contribute to technical documentation, design discussions, and long-term architectural decisions.

What will you be doing?
Complex static code analysis to determine possible bottlenecks and time-consuming operations within the code of AI model for inference
Architecture, design and implementation of compilation passes, compiling high-level languages to a unique HW
Take initiative to solve technical and business problems
Collaborate with other development and product teams in our company and in China to ensure the successful implementation and delivery of a solution.

Design and develop Linux kernel code related to virtual memory management and memory-tiering
Research, design and innovate methods, algorithms and supporting data-structures for managing memory hierarchies in virtualization environments
Participate in research to analyze AI-based applications performance, identify bottlenecks and optimize various decision-making mechanisms based on benchmarking results
Collaborate with professional team members and various global teams around the world on a daily basis
Challenged to think outside of the box and come up with creative ideas to deal with complex challenges within Linux kernel.

We are currently looking for a Performance Simulation Expert develop and evaluate next generation performance features as well as develop the future generation of our Compute system simulation infrastructure, models and analysis tools
Develop and analyze performance and power features in our cycle accurate pre-silicon model and improve the accuracy of the current Server system simulator
Design the architecture of the new generation system simulation platform that will be used to analyze performance of Server (Compute and AI) workloads and identify performance bottlenecks
Develop new technologies, methodologies and tools for simulation. Analysis and debug of applications and workload on Huawei servers
Propose and simulate optimizations and innovations on the HW and SW in order to improve server performance for given workloads
Distribute the simulation platform, train and support other teams in China and in Europe using the simulation platform, technology and methodology.

Were developing advanced cyber-defense technology that operates deep in the operating system - where performance, reliability, and security converge. As part of our core R&D team, youll design and implement low-level components for Linux and Windows kernels, driving the intelligence behind our next-generation EDR/endpoint protection platform.
Youll work on complex OS internals, create innovative security hooks, and collaborate with researchers to transform detection ideas into real-world protection.
Responsibilities:
Design and develop Linux kernel modules/drivers (LSM/eBPF/net/FS/process monitoring).
Build high-performance, tamper-resistant agent components for large-scale endpoint deployment.
Own full development lifecycle: architecture, PoCs, implementation, testing, performance tuning, and deployment.
Investigate kernel crashes, performance regressions, and low-level bugs using tools like KGDB, and ftrace.
Collaborate closely with data scientists and security researchers to integrate detection logic and telemetry pipelines.
Participate in design and code reviews; mentor peers in systems programming best practices.

Our team at the Huawei Computing Network Innovation Lab is looking for exceptional talent to join us and lead the development of next generation data centers. We create cutting-edge technologies that synergize software and hardware in tandem to accelerate compute, storage and networking at large-scale. We aim to drive innovations and deliver software defined infrastructure and algorithms to HPC, AI/ML, and Big Data applications.
We are looking for outstanding candidates with hands-on experience in development and optimization of AI frameworks. If you are a team player with excellent communication skills and motivation to revolutionize application performance, youre welcome on board!
What will you be doing?
Work as part of an innovative research team to analyze, develop, test and deploy improvements that enhance Huaweis distributed AI framework.
Develop optimizations that leverage hardware accelerator capabilities, minimize communication overhead and improve training/inference throughput
Push the boundaries of the state of the art in LLM performance and efficiency, including model compression and quantization
Analyze, profile and optimize the latest LLM AI algorithms, and implement as production-quality software libraries for latency-critical use-cases on next-generation hardware.
Work in a distributed computing environment to optimize for both scale-up (multi-device) and scale-out (multi-node) systems
Utilize advanced concepts such as Uncertainty Quantification, Mixed Precision Computing and Model Sparsity to improve performance and enable training of very large AI models
Collaborate with partners from top universities, and open-source communities to conduct state-of-the-art research.

We are seeking an experienced C++ Developer with a strong background in building sophisticated systems to join our innovation group. This role focuses on developing a Browser Detection and Response (BDR) System aimed at enhancing browser security for users worldwide.
Key Responsibilities:
Design, develop, and maintain new complex C++ features with an emphasis on chromium browser security and internals.
Collaborate with teams across the world for productization
Contribute to the innovation and enhancement of security features within browser technologies.

Looking for a CPU performance modeling architect to take responsibility over the performance aspects of new CPU instructions or modes of operation. The role includes but is not limited to:
Partners with lead SW and HW architects to co-invent optimal HW and SW solutions that come to address requirements. Influences the direction based on experiments and simulation data
Models CPU functionality, performance and/or power in pre-silicon simulators
Defines and runs performance experiments to aid feature definition. Such experiments can be performed on a pre-silicon simulation environment or in a real system or on a combination of both or even in combination with analytical models
Provides experimental/proof of concept for new features and implementation alternatives meeting performance constraints.
Analyzes the bottlenecks of current CPUs on workloads that reflect CPU future usages
Potentially (in the future), lead a team doing above activities
An adequately qualified candidate can also become the leader of definition for some features in addition to all the roles above.

Looking for a CPU Architect for codesign of HW/SW feature for our CPUs for cellphones and servers. The role includes but is not limited to:
Analysis of technical challenges and determination of whether to solve them by a combination of new HW and new SW or by only one of these
Invents corresponding HW features and SW solutions to address above challenges. Evaluates feasibility tradeoffs, explores, and defines new approaches and novel architectures for CPU. Develops the end-to-end architecture of new instructions (when applicable) in coordination with partners. Drives the inclusion of the feature in a CPU project working with micro-architects, designers and verification experts. (the HW/SW features are typically in the form of new instructions or of other Instruction Set constructs and belong to one of following domains: dense compute, general purpose accelerations, use case specific accelerations, system level instructions, Security related technologies, or instrumentation instructions.
Models CPU functionality, performance and power in simulators, analyzes the bottlenecks of current CPUs on workloads that reflect CPU future usage.
Provides experimental/proof of concept changes for proposing design alternatives meeting performance, power, area, and timing constraints.
Reviews and influences cross functional roadmaps.
Collaborates with SW and HW architects, design, verification, and validation engineers during the execution of the project. Finds mitigations for issues that arise during implementation of his/her features.

Looking for a CPU Architect with expertise in HW/SW codesign of dense computational logic (e.g., vector, matrix)
The role includes but is not limited to:
Analysis of technical challenges in relevant use cases and determination of whether to solve them by a combination of new HW and new SW or by only one of these
Analyzes the bottlenecks of current CPUs on workloads that reflect CPU future usage.
Invents corresponding HW features and SW solutions to address above challenges. Evaluates feasibility tradeoffs, explores, and defines new approaches and novel architectures for CPU. Develops the end-to-end architecture of new instructions in cooperation with partners. Drives the inclusion of the feature in a CPU project working with micro-architects, designers and verification experts.
(Preferably) models CPU functionality, performance and power in simulators.
Provides experimental/proof of concept changes for proposing design alternatives meeting performance, power, area, and timing constraints.
Reviews and influences cross functional roadmaps.
Collaborates with SW and HW architects, design, verification, and validation engineers during the execution of the project. Finds mitigations for issues that arise during implementation of his/her features.

Will drive the implementation of autonomous core power management for best performance and power efficacy.
The Power expert will take charge in understanding business-units (customers) needs, and translate them to CPU core solution.
This expert will utilize his power management experience to deliver world-class power efficient HW-SW solutions for Huawei products.
Responsibilities
Responsible for bringing Huawei CPU to a leading position in Performance-Power efficiency.